
Position:
Postdoc
Branch:
Research Group of Climate Change Impacts, Adaptation and Mititgation Modelling
Workplace:
MendelGlobe
Zemědělská 1665/1
Brno
613 00
Email:
lukas.v@czechglobe.cz
Research Focus
Precision agriculture, use of remote sensing for soil and vegetation monitoring; spectral characteristics of plants; image analysis; digital soil mapping, assessment of spatial variability of soil and crop; data processing and analysis in geographical information systems (GIS), Farm management information systems (FMIS).
Education
2003 – 2010 – PhD in Plant Production, Mendel University in Brno, Czech Republic
1998 – 2003 – MSc. (Ing.) in Agricultural Engineering, Mendel University of Agriculture and Forestry in Brno, Czech Republic
Appointments
2015 – present – researcher at Global Change Research Institute AS CR, v.v.i.
2012 – present – Research Assistant at Mendel University in Brno, Faculty of Agronomy, Department of Agrosystems and Bioclimatology, Czech Republic
2006 – Independent field surveyor in LUCAS 2006 Project (2 months), Luxspace, Luxembourg
2005 – 2012 – Researcher at Mendel University in Brno, Faculty of Agronomy, Department of Agrosystems and Bioclimatology, Czech Republic
Brief scientometrics
Author and co-author of 39 scientific papers (10 in IF journals), 9 certified methodologies,
ORCID: 0000-0001-8051-3305, ResearcherID: G-1573-2010, H-index = 11.
https://www.researchgate.net/profile/Vojtech_Lukas
Coordinator of the NAZV projects QL25020034 (2024–2027) and QJ1610289 (2016–2018), co-investigator of 5 NAZV projects, 6 TA CR projects, 2 MPO projects, and 2 European Space Agency (ESA) projects. The TAČR project TA04021389 (2014–2017) was declared by TAČR in 2019 as the winner in the Society category and received the “Czech idea” award. Experienced in publishing research results (81 records in WoS, 343 citations, h-index 11) and in transferring results into agricultural practice (3× Fuzit, 2× Gfunk, 17× Nmet, 5× Ztech, 3× Nmap). Cooperation with providers of technologies and services in precision agriculture through contract research and consultancy.
Selected publications:
Schmidinger, J., LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping. Geoderma. 2025, vol. 459.
Žížala, D. et al. Soil sampling design matters – Enhancing the efficiency of digital soil mapping at the field scale. Geoderma Regional. 2024, vol. 39.
Lukas, V. et al. 2024. Mapa efektivnosti využití živin při variabilní aplikaci hnojiv se zohledněním výnosových hladin a nevyrovnanosti půdních a porostních podmínek. https://doi.org/10.11118/978-80-7509-976-1
Lukas, V., et al. Lokálně cílená aplikace herbicidů v precizním zemědělství, Ověřená technologie, MENDELU. 2023.
Knapp, M., Teder, T., Lukas, V., Štrobl, M., Knappová, J., Landis, Douglas A.; González, Ezequiel; 2023. Ecologically-Informed Precision Conservation: A framework for increasing biodiversity in intensively managed agricultural landscapes with minimal sacrifice in crop production. Biological Conservation. 288(December), 110343. ISSN 0006-3207. https://doi.org/10.1016/j.biocon.2023.110343
Lukas, V. et al. 2022. Using UAV to Identify the Optimal Vegetation Index for Yield Prediction of Oil Seed Rape (Brassica napus L.) at the Flowering Stage. Remote Sensing. 14(19).
Lukas, V. et al. 2021. Effect of variable rate application of Phosphorus and Potassium fertilizers in sugar beet. Listy cukrovarnické a řepařské. vol. 137, no. 12.
Mezera, J. et al. Comparison of Proximal and Remote Sensing for the Diagnosis of Crop Status in Site-Specific Crop Management. Sensors 2022, 22.
Klem, K.et al. Improving Nitrogen Status Estimation in Malting Barley Based on Hyperspectral Reflectance and Artificial Neural Networks. Agronomy 2021, 11.
Haberle, J. et al. 2020. The 13C Discrimination of Crops Identifies Soil Spatial Variability Related to Water Shortage Vulnerability. Agronomy. vol. 10, no. 11.
Řezník, T. et al. 2019. Deployment and Verifications of the Spatial Filtering of Data Measured by Field Harvesters and Methods of Their Interpolation. Sensors vol. 19, no. 22.





